Question
Type error when running model trained in Roboflow in production environment
I can make inference from my trained Roboflow model using Google Colab and the AWS cloud9 test environment.
To do this, I used the following code:
from roboflow import Roboflow
rf = Roboflow(api_key="xxxxxxxxxxxxxxxxx")
path = "/context/image.jpeg"
project = rf.workspace().project("xxxxxx")
model = project.version(x).model
# infer on a local image
currency_result= model.predict(path, confidence=40).json()```
However, when I put it into production I got the following error:
[ERROR] TypeError: expected str, bytes or os.PathLike object, not NoneType
Traceback (most recent call last):
File "/var/lang/lib/python3.8/imp.py", line 234, in load_module
return load_source(name, filename, file)
File "/var/lang/lib/python3.8/imp.py", line 171, in load_source
module = _load(spec)
File "<frozen importlib._bootstrap>", line 702, in _load
File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 843, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/var/task/app.py", line 1, in <module>
from roboflow import Roboflow
File "/var/lang/lib/python3.8/site-packages/roboflow/__init__.py", line 10, in <module>
from roboflow.adapters import rfapi
File "/var/lang/lib/python3.8/site-packages/roboflow/adapters/rfapi.py", line 8, in <module>
from roboflow.config import API_URL, DEFAULT_BATCH_NAME, DEFAULT_JOB_NAME
File "/var/lang/lib/python3.8/site-packages/roboflow/config.py", line 51, in <module>
API_URL = get_conditional_configuration_variable("API_URL", "https://api.roboflow.com")
File "/var/lang/lib/python3.8/site-packages/roboflow/config.py", line 22, in get_conditional_configuration_variable
default_path = os.path.join(os.getenv("HOME"), ".config/roboflow/config.json")
File "/var/lang/lib/python3.8/posixpath.py", line 76, in join
a = os.fspath(a)
What I found interesting was that I was able to run the code in cloud9 using sam local invoke
, but in the production environment I got the above error.
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